dragonboat AI
Orchestrate product & portfolio decisions — with speed and clarity
Brings data, context, and AI agents together inside product and portfolio workflows, to automate work, surface risk, recommend actions, and drive confident decisions in increasingly complex, fast-changing environments.
Trusted by 6,000+ teams in large-scale product organizations
Strategize, plan and deliver product outcomes with speed at scale across PDLC
Faster Planning
Higher Resource Yield
Better On-target Delivery
AI that works inside your product and portfolio workflows
Embedded in a unified product and portfolio platform, Dragonboat Portfolio Intelligence continuously transforms shared data into a product investment context graph. Ambient agents monitor and surface risks and opportunities, embedded AI provides run-time recommendations, and the conversational AI Assistant lets teams and stakeholders explore, find, and act across strategy, product, and delivery.
Portfolio Intelligence
Continuously ingests and maps data and signals from Dragonboat PM & SPM apps, and integrates revenue, customer, BI, and engineering tools into a living Product Investment Context Graph, enabling humans and AI to operate with up-to-date, relevant context and make decisions with confidence, speed, and clarity.
It works via:
- Dynamic data mapping with real-time ETL.
- Collaborative intelligence: Context across everyone involved in product and portfolio decisions.
- Orchestration across layers: Semantic, analytic, and assistant layers turn data into actionable insights.
Ambient Agents
Like your AI teammate, ambient agents run continuously in the background, powered by Portfolio Intelligence and the Product Investment Context Graph. They surface risks, spot opportunities, and take proactive action, eliminating up to 80% of manual work. They can also be invoked by users, other AI agents, or Dragonboat assistants to support faster, smarter decisions.
Meet some of your AI helpers:
- AI Delivery Tracker: Detects delivery risks, dependency bottlenecks, scope creep, and delays before they impact roadmaps.
- AI Ops Reporter: Summarizes and shares stakeholder status updates automatically, reducing repetitive manual work.
- AI Investment Monitor: Flags over- or under-invested initiatives to keep resources and budgets aligned.
- AI Strategic Advisor: Spots misalignment between initiatives and strategic priorities so teams can adjust proactively.
Embedded AI
Embedded agents act like on-demand experts, delivering in-context recommendations, analysis, and outputs that require review or collaboration with users and stakeholders. Powered by the Product Investment Context Graph, they tackle complex or nuanced tasks, proposing actionable options so teams can decide, adjust, and execute with confidence.
Meet some of your AI experts:
- Thematic Insight Analyzer: Detects patterns in customer feedback or usage data to guide prioritization.
- PRD Generator: Drafts product requirement documents for review and refinement.
- Scenario Planner: Creates roadmap sequences and optimized plans to evaluate trade-offs.
- Ripple Effect Assessor: Traces ripple effects of proposed changes across the strategic product portfolio.
AI Assistant
Like a personalized ChatGPT, it helps product managers, product ops, executives, and even stakeholders get answers, take actions, and explore product and portfolio data—wherever they work (in-app, Slack, Teams, Copilot, or MCP). It can invoke agents, trigger actions, and even customize Dragonboat UI for your workflow.
- Conversational & accessible: In-app, Slack, Teams, Copilot, or MCP.
- Action-oriented: Provides answers or triggers actions, working seamlessly with ambient and embedded agents.
- Personalized interface: Customizes Dragonboat pages or views to fit your workflow and preferences.
Start Quickly with Instant Integrations
Seamlessly integrate and configure across multiple instances of Jira, ADO, Rally, Asana and other work management systems without disrupting your team’s current processes; let AI agents automatically extract, transform, and process data and changes.
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“We use Dragonboat extensively. With over 3,500 epics, launched in 9 months, from beginning to end. A monumental achievement.”
Rob Seidman
Chief Product Officer, POS Lending/ BNPL, U.S. Bank
“Achieved a notable increase in on-time project deliveries, ensuring greater efficiency and meeting deadlines effectively.”
Dominiek Leenknecht
CIO, ECS
“Has the most robust, 2 way Jira Integration I’ve ever seen, get seamless and dynamic health and predicted end dates, all in one place.”
Jackie Orlando
Director of Product Operations, Tealium